Mobile Phone Purchase Research Articles

Online product purchasing decision through IoT platform: based on normal stochastic multi-criteria decision method and vertical projection distance

Online product reviews in the internet of things platform have important implications for consumers’ buying decisions. Considering the large volume and discrete stochastic characteristics of online review information, an online product purchasing decision method based on normal stochastic multi-criteria decision and vertical distance method is proposed. Firstly, we present and prove the weighted arithmetic average operator under normal stochastic information environment. Then, the idea of vertical projection distance is introduced, according to the binary structure of expectation and variance in the stochastic attribute information, a nonlinear programming model for calculating the product attribute weights is designed. Based on this, the weighted arithmetic average operator is used to aggregate the decision information from the attribute dimension, and the priority order of the candidate products is obtained according to the order relation of the binary structure of normal stochastic attributes. Finally, a case study of mobile phone purchase decision-making is carried out to verify the rationality and practicability of this method.

Integrating KPSO and C5.0 to analyze the omnichannel solutions for optimizing telecommunication retail

Telecommunication system providers offer many special number commodities, and all marketing staff sell the commodities and special number combinations according to their marketing experience; consequently, telecommunication retailers find it difficult to consider both user demands and profits in their marketing strategies. This study proposes a classification model integrating K-means Particle Swarm Optimization (KPSO) and C5.0. The particles' PSO only followed pbest and gbest when moving, resulting in the disadvantage that PSO may easily fall into a local optimal solution. First, clustering analysis is carried out using the KPSO clustering method. Second, classification rules for clustering results are formulated by the C5.0 classification method, and a classification model is established in order to achieve effective descriptions of the clustering rules. The methods proposed herein can help retailers find and utilize complementary tariff products for mobile numbers as the basis for future sales and procurement. This study also analyzes the best media for customers' mobile phone purchase methods and utilizes different groups of buyers of the omnichannel. The proposed model is also able to categorize new future tariffs and can further conceptualize the clustering results in the analysis of telecom tariffs and product mix. Finally, the results effectively assist the telecommunications retail industry when considering procurement, product projects, sales, and marketing solutions.

Factors affecting mobile phone usage by the farmers in receiving information on vegetable cultivation in Bangladesh

Mobile phone can reduce the transaction cost resulted in increasing the farm productivity. This paper mainly focuses on identifying the factors affecting the use of mobile phone by the farmers and determining the extent of use of mobile phone by the farmers in receiving information on vegetable cultivation. The study was carried out at three villages under Mymensingh sub- district of Mymensingh district in Bangladesh. Seventy farmers were interviewed using structured questionnaire during April 1 to May 1 2016. Appropriate scales were used in order to measure the concerned variables. Both descriptive and inferential statistics were used to analyze the collected data. The majority (70 %) of the vegetable farmers were low user of mobile phone compared to 30 percent were medium user. None of them was found under high mobile phone user. Vegetable farmers’ characteristics such as education and social participation had significant positive relationships with their use of mobile phone while age and farming experience had significant relationships with negative trend. Among them age alone explained 33.1 per cent of the variations to mobile phone usage was confirmed by the step-wise multiple regression model. However, age and social participation were the influential factors affecting the use of mobile phone by the farmers. Lack of mobile servicing centre, expensiveness and electricity problem were the major constraints that cause hindrance to the use of mobile phone in receiving information on vegetables cultivation. Government should take initiatives to ensure proper electricity supply in village area and provide subsidy to easily purchase of mobile phone by the farmers. Besides, field extension agents should encourage and assist the farmers to use mobile phone in receiving information on vegetable cultivation.

Determining the impact of brand equity on consumer purchase intention

In this study, it was attempted to determine which brand equity element is more effective regarding the mobile phone purchase of university students. Brand equity is defined in three dimensions which are brand awareness, perceived quality and brand loyalty. Data was collected by 1190 subjects studying at the faculties of Aksaray University. The data was tested by Structural Equation Modeling. As a result of the research, it was found that brand awareness affects perceived quality, but it does not affect the brand loyalty and overall brand value. Perceived quality affects brand loyalty and overall brand value, while the brand loyalty affects the overall brand value. Furthermore, it was found that overall brand value affects purchase intention.

Effect on Brand Loyalty in Mobile Phone Purchasing (A Case Study In Bahawalpur, Pakistan)

Brands are the key to sales increase in consumer markets. They make a relationship between the consumers and the company. Brand loyalty is a consumer’s preference to purchase a particular product or service at first or repeatedly in a competitive market. The general purpose of this study is to investigate the factors leading to brand loyalty in service sector. Specifically, we are concerned to observe the factors affecting brand loyalty in mobile phone purchasing in Bahawalpur, Pakistan. The sample size of 150 is taken through convenient sampling method. The survey method is used to collect the data from the respondents through self-administered questionnaire. The regression analysis approved the significant positive relationship of the proposed factors with brand loyalty.

이동통신서비스 소비자역량과 규제에 대한 태도 연구 : 휴대폰 구매 성향에 따른 소비자 유형별 분석

이동통신서비스시장에서 실질적인 소비자 주권실현을 위하여 소비자역량 수준 및 규제에 대한 소비자의 평가가 중요하나 이에 대한 실증연구가 부족한 실정이므로 본 연구에서는 이동통신서비스 소비자역량과 규제에 대한 태도 수준을 살펴보고자 하였다. 이동통신 소비생활에 직접적인 영향을 미치는 보조금 규제가 2015년 단말기 유통구조 개선에 관한 법률 시행과 함께 강화됨에 따라 휴대폰 단말기 구매성향이 규제에 대한 소비자태도에 영향을 줄 것으로 예상되므로, 휴대폰 단말기 구매성향에 따라 소비자를 유형화한 후 소비자 유형별로 소비자역량과 규제에 대한 태도 수준을 살펴보고, 이동통신 소비만족도에 대한 영향요인을 분석하였다. 이동통신서비스 이용 소비자 400명을 대상으로 조사한 결과, 이동통신서비스 소비자는 휴대폰 단말기 구매성향에 따라 고관여형, 무관심형, 가격민감형, 스타일중시형의 네 가지 유형으로 유형화되었다. 소비자문제해결을 위한 소비자역량 수준, 이동통신서비스 관련 보조금 규제 및 단말기 유통구조개선에 관한 법률 시행에 대한 소비자태도는 전 유형에서 낮은 수준으로 나타났다. 유형별 이동통신 소비만족도에 대한 영향요인을 살펴보면, 고관여형, 무관심형은 가계지출 중 통신비 부담 수준이 이동통신 소비만족도에 부적 영향을 미치고 있었고, 가격민감형의 경우에만 보조금 규제 인지 및 소비자태도가 이동통신 소비만족도에 긍정적으로 기여하는 것으로 나타났다. 한편 스타일중시형은 사용단계의 소비자역량이 이동통신 소비만족도에 긍정적으로 영향을 미쳤다. 이상의 연구결과를 통하여, 소비자의 관점에서 보조금 규제 및 단말기 유통구조개선에 관한 법률을 통한 규제 강화에 대한 유용성은 그리 높지 않은 것을 알 수 있으므로 소비자지향적인 규제정책을 위하여 정책 입안 시 소비자유형별 정책수용도 검토가 선행되어야 하며, 이동통신서비스 소비자역량 강화를 위하여 소비자 유형별 접근이 필요하다.

Mobile Phone Purchasing and Brand Presence on Facebook

Focusing on the mobile phones sector, this study explores how the social networking site ‘Facebook' is used by consumers in their purchasing. Although there is extensive work on the influences on the buying decision process relevant to mobile phone purchasing, it is mainly set outside of a social media context. This paper assists in filling a gap in contemporary research, revealing the presence of different behavioural segments on Facebook. The authors analyse the consumer decision sequence in response to the notion of ‘brand presence', manifested through online advertising, fan and group pages. The approach is interpretative. The study is based on young professional user's experiences, collected through semi-structured individual and focus group interviews. The findings show that Facebook fan pages are shown to have a degree of influence, particularly in the early stages of buying behaviour. In this context, five novel behavioural segments of consumer interactions with Smartphone brands on Facebook have been identified by the research. These are the Avoider, the Suspicious, the Passive, the Receptive, and the Active. Future research of cross comparative studies could be taken on the issues the authors examine and consider them in relation to not only Facebook, but additionally, to other social network sites. Companies could utilise the findings in the future development of social media strategy. The research highlights the socially networked and collective nature of much activity on Facebook, which impacts on the consumer decision-making process for mobile phones.

Factors Affecting Mobile Phone Purchase in the Greater Accra Region of Ghana: A Binary Logit Model Approach

This paper investigated the factors affecting mobile phone purchase decision in the Greater Accra Region of Ghana, using a binary logit regression model approach. Through a multiple-stage random sampling technique, structured questionnaire was used to collect primary data from 200 mobile phone users in four districts in the study area. Results of the descriptive statistic show that Nokia and Samsung phones were the two main brands of phones used by majority of the respondents interviewed. In addition, of the 54 percent of respondents who expressed their intention to acquire new phones majority were male, between the ages of 21-30 years and has tertiary level of education. The result of the binary logit regression model revealed that advanced technology features such as internet browsing and durability or quality of mobile phone handsets are the two main factors that are likely to positively and significantly affect mobile phone purchase decision. It is therefore recommended that manufacturers and marketers of mobile phone handsets should produce and market more durable and high quality mobile phone handsets with modern technology features that are targeted at the educated youth.

Factors Affecting Consumer Buying Behavior of Mobile Phone Devices

The purpose of this study is to investigate the factors affecting the decision of buying mobile phone devices in Hawassa town. In order to accomplish the objectives of the study, a sample of 246 consumers were taken by using simple random sampling technique. Both primary and secondary data were explored. Moreover, six important factors i.e. price, social group, product features, brand name, durability and after sales services were selected and analyzed through the use of correlation and multiple regressions analysis. From the analysis, it was clear that consumer’s value price followed by mobile phone features as the most important variable amongst all and it also acted as a motivational force that influences them to go for a mobile phone purchase decision. The study suggested that the mobile phone sellers should consider the above mentioned factors to equate the opportunity. DOI: 10.5901/mjss.2013.v4n12p103

Why Consumers Purchase New Mobile Phones: Modeling the Process of Decision-Making

With the proliferation of mobile data services (MDS), increasing attention has been paid to factors affecting the adoption of mobile phones with access to MDS. In this paper, a theoretical framework based on means-end chain theory is proposed to examine users’ decision-making processes regarding new mobile phone purchase. Both direct and indirect factors (i.e., expected MDS attributes, expected mobile phone attributes, perceived benefits, and financial constraints) are introduced in developing a research model in this study. The proposed model is empirically tested with structural equation modeling (SEM) using survey data from 304 MDS users in Singapore. The findings of this study show that users’ expectations of new mobile phones are significantly associated with their demands for MDS. Moreover, their expectations of MDS and mobile phone attributes result in different desires for specific perceived benefits. Finally, income is shown as a significant economic constraint as users are concerned with the cost-benefit paradigm when they consider new mobile phone purchase.

Factors Influencing the Mobile Phone Purchase - A Study on the College Students of Delhi NCR

The studies performed in the past reflected that the most frequent users of mobile phones are our college going students (MACRO - Market Analysis & Consumer Research Organisation, 2004; Sathish, Kumar, Naveen & Jeevanantham, 2011; Singla & Bansal, 2011; Ahmed & Qazi, 2011; Chakraborty, 2006; Aoki & Downes, 2003) the studies identified that they are the most dynamic users of the mobile devices. Thus, in the proposed work the college going students are identified as the potential respondents for the Questionnaire analysis. The performed study involves the ICT (Information Communication & Technology) based version of Questionnaire analysis, where simple random sampling is used. The study plans to identify the factors affecting the purchase pattern of the said respondents, based on their responses it is identified that 46% of the population prefer to change the mobile handset in 1 to 2 years, none the 44% prefers for change in 2 to 3 years. Further, the Analysis of the collected data disclosed that 38% of the respondents are preferring the mobile handsets with price band of 5001 to 10000 Rs. Whereas, the demand for the mobile handsets lying in the price band of less than 5000 contributes to 30% of the received responses. The performed study also reveals that 62% of the respondents gives higher consideration for the mobile handsets with medium size and 52% for the mobile handsets which are light in weight. Finally, the analysis of the collected responses identified that the students belonging to the service sector families with income domain from 25000-100000 are more prone to mobile switching and purchase. Based on the performed study, it is identified that almost 50% of the population belongs to service class families and the same prefers to change their handset within 2 years, and they prefer light weight - medium size handsets in the price range lying under 10000Rs. The telephonic discussion with the respondents who gave consent for big size and medium weight phones, reveals that they are actually talking for calling tabs (option not available in Questionnaire), as this device serves their multiple purposes related to education and entertainment both. Thus, it is to be considered that the students are searching for calling tabs as their next choice which should lie in the range of 10000Rs or so. Thus, the performed study recommends that the mobile sector should consider the studied factors like price range, physical attributes, employment sector etc. before designing the strategies for mobile handsets.

Mobile phone purchase and usage behaviours of early adopter groups in Korea

Recent mobile phones known as smartphones offer a variety of applications, such as Web browsing, entertainment tools, and personal calendar and contact management applications of the type that traditionally run on desktop computers. Some of the reasons why smartphones became popular rapidly in Korea may be related to the adoption by the type of user known as the early adopter. Because the early adopter group played a more crucial role in the area of mass consumption and because the mass market is changing more rapidly than before, this study examines mobile phone purchase and usage behaviours of early adopter groups in Korea in order to gain vital insights into establishing marketing strategies for early adopter groups. In this study, segmentation by means of a factor analysis and cluster analysis is conducted to classify early adopter groups in accordance with their activities, interests, and opinion. Specifically, factor analysis is employed to identify the common characteristics among lifestyle variables, and cluster analysis is then adopted for those factors to classify early adopter groups according to their lifestyles. In addition, we analyse the mobile phone purchase and usage behaviours of early adopter groups in Korea. The results of this study can contribute to the effort to classify early adopter groups while also having implications pertaining to mobile phone vendors and mobile service providers who target early adopters depending on their different characteristics.

An Analysis of Buying Behavior of Rural and Urban Consumer in Sagar District with Reference to Utility Pattern of Mobile Phone

This study aims to establish whether the residential background of consumers has a varying influence on their buying decisions. A survey of 400 urban and rural respondents was carried out, of which 200 were rural and 200 urban. The data were analyzed by applying counts, percentages, means, and Z-test. It is found that there is no significant difference of price and style consciousness for purchase of mobile phone between rural and urban consumers but there is a significant difference of quality, functions and brand consciousness of consumers for purchase of mobile phone between rural and urban consumers. Study indicates that rural consumers are less quality, functions and brand conscious compared to urban consumers. The study indicates that rural consumer mostly use friends, TV. and mobile phone retailer as the source of information, the purchase decision is taken by self-decision with the help of family, friends and most of rural consumers are satisfied in Sagar District, Madhya Pradesh.

Consumer Behavior in Purchase of Mobile Phone in Urban City of Karachi

The dynamic times we are living in may be one of the most fascinating times to study mobile phone purchasing motives. There is not enough data available on the salient factors which affect the decision making process; usage and brand loyalty in mobile phone consumers belonging to different age groups. Therefore, this study addresses this subject by using the Models of Wheel of Consumer Analysis and Consumer Decision Making Process to evaluate two distinct age groups: 18-35 years and 36-50 years. It further evaluates effect of marketing strategies on consumers of both age groups, based on a popular brand of Nokia. Findings of this study show that younger consumers, aged 18-35 years, are comparatively more affective and more inclined towards technologically advanced mobile phones, whereas, the older consumers aged 36-50 years are more cognitive. Both the age groups are highly involved in the purchase decision of mobile phones. Word of mouth, mobile phone dealers’ websites and advertisements play the most powerful role in influencing their purchase decision. The final part of the study on behavior towards Nokia reveals the brand’s unique selling points across both age groups are durability and quality. Majority is not satisfied with its pricing strategy and need more features at lower prices. However, older age group shows higher level of brand loyalty for Nokia.

Identifying decision strategies in a consumer choice situation

AbstractIn two studies on mobile phone purchase decisions, we investigated consumers’ decision strategies with a newly developed process tracing tool calledInterActive Process Tracing(IAPT). This tool is a combination of several process tracing techniques (Active Information Search, Mouselab, and retrospective verbal protocol). After repeatedly choosing one of four mobile phones, participants formalized their strategy so that it could be used to make choices for them. The choices made by the identified strategies correctly predicted the observed choices in 73% (Experiment 1) and 67% (Experiment 2) of the cases. Moreover, in Experiment 2 we directly compared Mouselab and eye tracking with respect to their impact on information search and strategy description. We found only minor differences between these two methods. We conclude that IAPT is a useful research tool to identify choice strategies, and that using eye tracking technology did not increase its validity beyond that gained with Mouselab.

Usage pattern of web-based system for mobile phone purchasing

The quality of service to customers can be considerably enhanced by providing them with information and decision support via a web-based system. This study implements and evaluates a web-based system to support mobile phone purchasing. One hundred and twenty-five telephone interviews revealed that consumers. five most important concerns when purchasing a mobile phone are quality of signal transmission, product shape, price, size and ease of use. A web-based system to support consumers. decisions was implemented and formally evaluated. College students in the Department of Information Management were randomly assigned to a control group (n=98) and an experimental group (n=92). The experimental group obtained higher scores than the control group both in Usefulness and Decision Quality, implying that a web-based system that incorporates a decision support function can enhance the quality of service to customers.